ONLINE: TechHUB webinar
The National Robotarium has partnered with Highland and Islands Enterprise for a TechHUB webinar exploring how can benefit the food and drink, and agricultural sectors.
Join the webinar on Monday 16th Sept and learn:
The National Robotarium has partnered with Highland and Islands Enterprise for a TechHUB webinar exploring how can benefit the food and drink, and agricultural sectors.
Join the webinar on Monday 16th Sept and learn:
Additive Manufacturing & 3D Printing | CNC Machining | Traditional Production Technologies. We offer world-class support throughout the product development cycle, from innovation to manufacturing. Renowned for producing high performance polymer and metal parts and prototypes to exacting quality standards, Paragon Rapid Technologies is the preferred low volume production partner for thousands of customers across the aerospace, defence, energy, entertainment, automotive, medical, industrial and consumer industries in the UK.
Dr Karen Donaldson has joined the University of Edinburgh on an Elizabeth Georgeson Fellowship where she will be working on robotics for planetary exploration. Dr Donaldson worked at the University of Edinburgh as part of the Connect-R EPSRC project for robotics in unstructured environments, she then was a project manager at the National Robotarium. Please get in touch with her about potential collaborations.
This is a Joint AIAI, ANC, ICSA, ILCC, IPAB, LFCS seminar and Scottish Programming Languages Institute (SPLI) Distinguished Lecture
Groq’s Language Processing Unit (LPU) chips are reshaping the landscape of large language model (LLM) deployment at scale. By prioritizing low latency and high throughput, our hardware and software stack enables rapid and efficient inference, making it ideal for applications where LLMs must be invoked repeatedly by agents e.g. for solving mathematical problems.
... for the Summer School on Multi-Robot Systems where he'll give a lecture on Multi-Agent Reinforcement Learning (MARL), based on his new textbook http://marl-book.com
Stefano Albrecht has recently returned from a two-week China trip where he gave many talks at top universities and tech companies. One of the highlights was a talk at the BAAI 2024 conference (Beijing Academy of Artificial Intelligence) in Beijing, which is widely regarded as the most important AI conference in China and has had many big speakers.
Synopsis: Safety-critical systems such as autonomous driving need to operate safely in their real-world deployment. With the implementation of AI in these systems, new safety assurance paradigms are critical to mitigate the risks posed by AI as traditional rules-based controls are replaced by data-driven ones. In the talk, I will present an overview of existing methods for AI safety. Subsequently, I will introduce my contributions to this field by elaborating on the design of interpretable AI algorithms, explainable AI methods, and rigorous testing methodology.
Join us to hear from the Children’s Parliament, where they’ll be sharing outcomes from their participatory engagement project with school children.
Since August 2022, the Children’s Parliament has been exploring the intersections of children’s human rights and AI development, use, and regulation in Scotland. We believe this was the first time children have been consulted on AI development nationally in Scotland.
AgeTech is about using technologies, such as e-health, robotics, artificial intelligence, and mobile devices to support the health and independence of older people. While AgeTech has many benefits, it also brings ethical challenges and could be seen as a double-edged sword. Technology could lead to efficient and cost-effective services, but it can also be disruptive to people’s lives. In-home health monitoring systems raise concerns about privacy. Unequal access and use of technology—the digital divide—may increasingly impact on a person’s health.
This research presents an in-depth exploration of accurate and robust facial emotion recognition technology, with a focus on achieving effective performance across a diverse range of individuals in real-world settings. It addresses the challenges associated with the nature of training data and its ability to capture variations among subjects. This involves a critical examination of current affective datasets and their alignment with real-world scenarios, as well as considering the question, "Do all people express themselves in the same way?".